Chapter 7_Case Study

YEAR  ADVERTISING EXPENDITURE ($000) MEMBERSHIP SUBCRIPTIONS 2013 51 62 2014 58 68 2015 62 66 2016 65 66 2017 68 67 2018 76 72 2019 77 73 2020 78 72 2021 78 78 2022 84 73 2023 85 76 i) Plot the scattergraph for the data.           (ii) Use the data, to develop a regression equation relating advertising expenditure to membership.   (iii)  Estimate the membership if $40 000 is spent on advertising.            (iv)  How much must be spent on advertising to obtain a membership of 80 (000)?            (iv)  What is the nature of the relationship between advertising expenditure and membership?  (v)  Forecast 2024 membership using an alternative method, clearly explaining the limitations of your selected method.       (vi) What are the limitations of the method used in (i)?

Global Bikes Inc. (a bicylce manufacturing firm) collected the following data during a study of consumer buying patterns. Observation 1 2 3 4 5 6 7 y= X y 15 70 28 79 38 89 35 86 49 97 42 97 30 82 y = Observation 0.721 + 1890123 a. Create a linear regression line (equation) for the data.(Round your Intermediate calculations and final answers to 3 decimal places.) X 14 16 14 24 21 29 63.229 X y 82 70 68 84 83 91 b. Use the equation determined in part b to predict the expected value of y for x = 49. (Round your Intermediate calculations and final answers to 3 decimal places.)

MovieFlix - Advertising and Subscriptions Year 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 Advertising Expenditure $ 000 51 58 62 65 68 75 77 78 78 84 85 76 Membership Subscriptions (1) Plot the scattergraph for the data. 62 68 66 66 欲 72 73 72 78 73 75 67 76 (ii) Use the data, to develop a regression equation relating advertisi. expenditure to membership. (iii) Estimate the membership if $40 000 is spent on advertising. (iv) How much must be spent on advertising to obtain a membership of 80 (000)? (v) What is the nature of the relationship between advertising expenditure and membership? (vi) Forecast 2024 membership using an alternative method, clearly explaining the limitations of your selected method. (vii) What are the limitations of the method used in (iii)?

How does the accuracy of prediction markets compare to public opinion polls? Prediction markets' accuracy varies widely, They both are equally accurate. Prediction markets provide less accurate forecasts Prediction markets provide more accurate forecasts.

Please do not give solution in image format thanku

Difference between Business statistics and Business Analytics”.

Scatter plot Which are correct? A) positive / negative/ cluster/ not applicable B) linear / none linear C) strong correlation / weak correlation

145) help with this please!!

The following data were collected during a study of consumer buying patterns:Observation       x     y   Observation     x    y        1                19  72           8            20  77        2                21  81           9            17  73         3                43  79          10           13  77        4                28  81          11           20  85        5                56  98          12           28  93        6                49  96          13           34  94        7                32  82          14a. Obtain a linear regression line for the data.b. What percentage of the variation is explained by the regression line?c. Use the equation determined in part b to predict the expected value of y for x = 49.

Please help with correct answers in details: step by step as last submission were given incorrect answers A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615

After graduation, you take a position at Top-Slice, a well-known manufacturer of golf balls. One of your duties is to forecast monthly demand for golf balls. Using the following data, you developed a regression model that expresses monthly sales as a function of average temperature for the month: Click the icon to view the additional data. a. Show how the â and ɓ values of - 337.0 and 88.9 were calculated. Calculate the slope coefficient, ɓ (enter your responses as whole numbers). (755)(63110) 4252000 Б 12 = 88.9 (755) 50665 12 Monthly sales - 337.0+88.9 × (average temperature) Calculate the intercept term, â (enter your responses rounded to one decimal place). â= 5259.2 -88.9 × 62.92 = - 337.0 b. Use the regression forecasting model to forecast total golf ball sales for June and July 2018. Average temperatures are expected to be 73 degrees in June and 82 degrees in July. The forecast of total golf ball sales for June 2018 is (Enter your response rounded to the nearest whole number.)…

Netflix decided to distribute the show "Orange is the New Black".  This decision was because  the show 'Weeds', performed very well on Netflix in terms of viewership and engagement.   Both shows have the same writers/creative teams.  Data shows that viewers enjoy shows by the same writers/creative teams. This is an example of Netflix relying upon which type of data analytics   Question 4 options:   a)  Descriptive   b)  Diagnostic   c)  Predictive   d)  Prescriptive

Explain three (3) of the general assumptions of a Regression (Least Squares) model.

Which business research analysis assesses relationships between continuous data outputs and discrete data inputs?   1. Logistic Regression 2. Regression 3. ANOVA 4. Chi-Square Contingency Table 5. None of the above

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1- A pharmacist has been monitoring sales of certain over-the-counter pain reliever. Daily sales during the last 15 days were as follows: Day 1 2 3 4 7 8 9 Number sold 36 38 42 44 48 49 50 49 52 Day 10 11 12 13 14 15 Number sold 48 52 55 54 56 57 a: By using linear regression method predict the future sales for the next 5 days (please do all calculations in excel and send the excel file with answers included as your response) b: calculate the MSE for the prediction of these 15 days. (again by using Excel) 1- Explain how QFD can be employed for designing a new restaurant in your region in Iraq? (at least 100 words) 2- A producer of inkjet printers is planning to add a new production line of printers, and you have been asked to balance the process, given the following task times and precedence relationships. Assume the cycle time is to be minimum possible (based on the bottleneck). Immediate Length (minutes) Task (Predecessor) a 0.2 b 0.4 a 0.3 d 1.3 b, c e 0.1 f 0.8 e g 0.3 d, f 1.2 g a…

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How can startbucks company use multiple regression? Please provide an example and identify dependent and independent variables.

Assume that two firms are competing for market share for a particular product. Each firm is considering what promotional strategies (no promotion, moderate promotion or heavy promotion) to employ for the coming period. The market research team of firm A develop the following data for varying degree of promotions.i. No promotion, moderate promotion and heavy promotion for both firms will result in no change in the percentage of their market sharesii. Firm A with no promotion: its market share will show 5% decline in its market share when firm B uses moderate promotion and 10% decline when firm B uses heavy promotion iii. Firm A using moderate promotion: its market share will increase by 12%when firm B chooses no promotion and 6% growth will be recorded when firm B uses heavy promotion.iv. Firm A using heavy promotion: its market share will increase by 14 when firm B uses no promotion and 9% when firm B uses moderate promotion. Based on the forgoing information, - Develop a payoff matrix…

B. The following table shows the number of televisions sold over the last ten years at a local electronic store. year TV sales 1 150 2 300 3 480 4 600 5 630 6 640 7 700 8 825 9 900 10 980 i. Using the trend projection, develop a formula to predict sales for years 11 and 12. Develop a table to calculate the slope and intercept.    Please Show All Working. Use that formula to forecast television sales for years 11 and 12

Given the data below, what is the simple linear regression model that can be used to predict sales in future weeks?   Week 1 2 3 4 5 Sales 150 157 162 166 177

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